Duration Data from the National Long-Term Care Survey: Foundation for a Dynamic Multiple-Indicator Model of ADL Dependency

James N. Laditka and Douglas A. Wolf ()
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Douglas A. Wolf: Center for Policy Research, Maxwell School, Syracuse University, https://www.maxwell.syr.edu/directory/douglas-a-wolf

No 65, Center for Policy Research Working Papers from Center for Policy Research, Maxwell School, Syracuse University

Abstract: This report describes preparation of data from the National Long-Term Care Survey (NLTCS) fur use in a dynamic multiple-indicator model of dependency in Activities of Daily Living (ADLs). The data set descrdibed makes use of all functional status information available across four NLTCS waves for six ADLs, including information from screening interviews, detailed interviews in the community, and institutional interviews. Importantly, it also captures all available information elicited from respondents about the *duration* of any impairment in these ADLs. The data was prepared as described in this report to enable the calculation of improved estimates of the probabilities that an older individual will transition from one functional status state to another in any of six ADLs. These probabilities can then be used to improve estimates of active life expectancy.

JEL-codes: I12 J14 (search for similar items in EconPapers)
Pages: 70 pages
Date: 2004-12
New Economics Papers: this item is included in nep-edu and nep-hea
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